Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -39.3 * weight + 3500
This means that on average for every extra kilogram weight a rider loses -39.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | DEMEYER Marc | 85 |
4 | ZOETEMELK Joop | 68 |
990 | MOURIOUX Jacques | 71 |
990 | DUCREUX Daniel | 65 |
990 | MAERTENS Freddy | 65 |
990 | PIJNEN René | 72 |
990 | OVION Régis | 64 |
990 | POULIDOR Raymond | 71 |